Rate splitting and precoding strategies for multi-user MIMO broadcast channels with common and private streams
L Khamidullina, ALF de Almeida… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
In this paper, we present a precoder design for multi-user multiple-input multiple-output (MU-
MIMO) broadcast systems with rate splitting at the transmitter. The proposed scheme applies …
MIMO) broadcast systems with rate splitting at the transmitter. The proposed scheme applies …
Convex set-oriented singular value decomposition with bounded uncertainties
Singular value decomposition (SVD) has played a crucial role in mathematics and applied
mathematics, particularly in the field of practical engineering technology, which is almost …
mathematics, particularly in the field of practical engineering technology, which is almost …
Performance Analysis for the GSVD-Based MIMO-NOMA Communications via Operator-Valued Free Probability
C Rao, Z Ding, K Cumanan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In recent years, the multiple-input multiple-output (MIMO) non-orthogonal multiple-access
(NOMA) systems have attracted a significant interest in the relevant research communities …
(NOMA) systems have attracted a significant interest in the relevant research communities …
Robust Tensor Decomposition for Heterogeneous Beamforming Under Imperfect Channel State Information
K Ando, K Ishibashi… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
We propose a new robust variation of the tensor decomposition known as the multi-linear
generalized singular value decomposition (ML-GSVD), and demonstrate its effectiveness in …
generalized singular value decomposition (ML-GSVD), and demonstrate its effectiveness in …
[PDF][PDF] Signal Processing Algorithms for MIMO-NOMA Based 6G Networks
Y Dursun - 2023 - pure.manchester.ac.uk
Increasing demand for both achieving higher data rate to solve computationally intensive
tasks timely and connecting more user equipment (UEs) simultaneously have prompted …
tasks timely and connecting more user equipment (UEs) simultaneously have prompted …
[HTML][HTML] Tensor decompositions and algorithms for efficient multidimensional signal processing
L Khamidullina - 2023 - db-thueringen.de
Die ML-GSVD ist eine Erweiterung der Generalized Singular Value Decomposition (GSVD)
zweier Matrizen auf den Tensorfall. Die Eigenschaften der ursprünglichen Matrix GSVD …
zweier Matrizen auf den Tensorfall. Die Eigenschaften der ursprünglichen Matrix GSVD …